Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS by Ruizhi Zhang, Dayong Zhang, Bo Shu, Yang Chen

“…The findings offer valuable insights for rural land use planning and hazard mitigation strategies, emphasizing the necessity of adopting a “small aggregations and multi-point placement” approach to settlement planning in Southern Sichuan’s mountainous regions.…”
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The effective landscape design parameters with high reflective hardscapes: guidelines for optimizing human thermal comfort in outdoor spaces by design -a case on hot arid climate w... by Reham A. Abdelwahab, Ahmed A. Fekry, Reham El-Dessuky Hamed

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Advancing geohazard risk assessment – A digital tool for steep slope management by Cherry Rose Godes, One-Bin Lim, Shanelle Aira Rodrigazo, Yongseong Kim, Yongjin Kim, Seungjoo Lee, Jaeheum Yeon

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An Efficient Flicker-Free FEC Coding Scheme for Dimmable Visible Light Communication Based on Polar Codes by Junbin Fang, Zhen Che, Zoe Lin Jiang, Xiaolong Yu, Siu-Ming Yiu, Kui Ren, Xiaoqing Tan, Zhe Chen

“…Since conventional forward error correction (FEC) codes cannot provide two lighting related features, dimming support, and flicker mitigation, the existing coding schemes for reliable VLC usually rely on auxiliary coding techniques, which cause a complicated structure and a low transmission efficiency. …”
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Machine learning prediction of 18 date palm polyphenol protection against biomolecular damage by Nashi K. Alqahtani, Tareq M. Alnemr, Rania Ismail, Hosam M. Habib

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Mutual clustering coefficient-based suspicious-link detection approach for online social networks by Mudasir Ahmad Wani, Suraiya Jabin

“…Experimental results demonstrate that four basic and easily available features such as workw,educatione,home_townhtandcurrent_city(cc) along with MCC play a vital role in designing a successful classification system for the detection of suspicious links.…”
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Monolithically Integrated O-Band Coherent ROSA Featuring 2D Grating Couplers for Self-Homodyne Intra Data Center Links by Pascal M. Seiler, Galina Georgieva, Anna Peczek, Matthieu Oberon, Christian Mai, Stefan Lischke, Andrea Malignaggi, Lars Zimmermann

“…In this work, we present an O-band dual-polarization coherent receiver optical sub-assembly (cROSA), monolithically integrated in a 0.25 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>m BiCMOS technology. The receiver features 248 nm deep ultra violet compatible 2-dimensional grating couplers (2D-GRCs), and an adaptive polarization controller, suitable for mitigation of local oscillator induced power fading in self-homodyne transmission systems. …”
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A unified and scalable machine learning framework for feature fusion in object classification using weighted PCA with adaptive concatenation and dynamic scaling by Amitav Mahapatra, Prashanta Kumar Patra

“…WPCA-ACDS integrates three key components: Weighted Principal Component Analysis (Weighted PCA) for efficient dimensionality reduction, Adaptive Concatenation for optimal feature selection based on data-driven strategies, and Dynamic Scaling to balance feature contributions and mitigate the impact of outliers or irrelevant features. …”
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Evaluating organic carbon in living and dead trees using GLCM features and explainable machine learning: insights from Italian national forest by Mehdi Fasihi, Alex Falcon, Giorgio Alberti, Luca Cadez, Francesca Giannetti, Antonio Tomao, Giuseppe Serra

“…First, we extract Gray-Level Co-occurrence Matrix (GLCM) texture features from LiDAR-derived canopy height models to quantify spatial heterogeneity in forest structure. …”
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FIDC-YOLO: Improved YOLO for Detecting Pine Wilt Disease in UAV Remote Sensing Images via Feature Interaction and Dependency Capturing by Zekun Xu, Yipeng Zhou, Shiting Wen, Weipeng Jing

“…First, to effectively extract the discriminative features of PWD targets, the shuffle efficient layer aggregation network is proposed to promote information interaction between features, improving the model&#x2019;s learning capability. …”
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SE-CapsNet: Automated evaluation of plant disease severity based on feature extraction through Squeeze and Excitation (SE) networks and Capsule networks by Shradha Verma, Anuradha Chug, Ravinder P. Singh, Amit P. Singh, Dinesh Singh

“…Early detection, diagnosis and treatment can greatly reduce losses, both economic and ecological, i.e. reduction in the use of agrochemicals due to timely detection of the disease, would help in mitigating the environmental impact. In this paper, the authors have proposed an improved feature computation approach based on Squeeze and Excitation Networks, before processing by the original Capsule Networks (CapsNet) for classification. …”
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Investigating the protective effects of fluvoxamine against sepsis-related acute lung injury through antiapoptotic, anti-inflammatory, and anti-oxidant features in rats by Halil Asci, Suleyman Emre Akin, Hasan Ekrem Camas, Ahmet Bindal, Okan Kurtbolat, Şerife Tasan, Abdurrahman Gulal, Rumeysa Taner, Turgut Kurt, Ozlem Ozmen

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LSKAFF-YOLO: Large Separable Kernel Attentional Feature Fusion Network for Transmission Tower Detection in High-Resolution Satellite Remote Sensing Images by Xiaojin Yan, Zhixuan Li, Yongjie Zhai, Ke Liu, Ke Zhang, Zhenbing Zhao

“…Moreover, a progressive path aggregation network replaces the original neck network, mitigating information loss or degradation during feature transfer and interaction, thereby realizing multiscale feature fusion of transmission towers. …”
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Performance Comparison of Prediction of Hydraulic Jump Length Under Multiple Neural Network Models by Ziyuan Xu, Zirui Liu, Yingzi Peng

“…This process significantly reduces the kinetic energy of water flow, thereby mitigating downstream erosion and protecting hydraulic structures, which in turn extends their service life. …”
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Multi-Sensor Fusion for Land Subsidence Monitoring: Integrating MT-InSAR and GNSS with Kalman Filtering and Feature Importance to Northern Attica, Greece by Vishnuvardhan Reddy Yaragunda, Emmanouil Oikonomou

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The Insidious Threat: Assessing the Dangers and Spread of Tomato Leaf Curl New Delhi Virus by Thuy Thi Bich Vo, Marjia Tabassum, Bupi Nattanong, Muhammad Amir Qureshi, Hyo-jin Im, Giuseppe Parrella, Eui-Joon Kil, Sukchan Lee

“…Thus, understanding the features and mechanisms of this virus, alongside extensive research on ToLCNDV characteristics and the development of effective preventive strategies, is essential. …”
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A Machine Learning Algorithm Using Texture Features for Nighttime Cloud Detection from FY-3D MERSI L1 Imagery by Yilin Li, Yuhao Wu, Jun Li, Anlai Sun, Naiqiang Zhang, Yonglou Liang

“…Furthermore, compared to LGBM models without GLCM inputs, the enhanced model effectively mitigates the thermal stripe effect of MERSI L1 data, yielding more accurate cloud masks. …”
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Clinical Features, Risk Factors, and Outcomes of Acute Coronary Syndrome in Young Sudanese Patients: A Retrospective Single-Tertiary Care Center Study by Osman Elsayd Osman, Reem Mohamed Osman, Atka Ahmed Abd Elkariem, Sahar Alfadil, Rawan Mohamedosman, Imad Fadl Elmula

“…This study aimed to characterize the clinical features, risk factors, and prognosis of acute coronary syndrome (ACS) in young Sudanese patients. …”
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A Micro-Topography Enhancement Method for DEMs: Advancing Geological Hazard Identification by Qiulin He, Xiujun Dong, Haoliang Li, Bo Deng, Jingsong Sima

“…This study introduces the LiDAR image highlighting algorithm (LIHA), a novel approach for enhancing micro-topographical features in digital elevation models (DEMs) derived from airborne LiDAR data. …”
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DCMC-UNet: A Novel Segmentation Model for Carbon Traces in Oil-Immersed Transformers Improved with Dynamic Feature Fusion and Adaptive Illumination Enhancement by Hongxin Ji, Jiaqi Li, Zhennan Shi, Zijian Tang, Xinghua Liu, Peilin Han

“…To mitigate the semantic gap between the encoder and the decoder, we replace the standard skip connection with a cross-level attention connection fusion layer (CLFC), enhancing the multi-scale fusion of morphological and edge features. …”
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